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- Tasks: Lead data science projects and apply ML methods to complex datasets.
- Company: Anson McCade, a leader in IT services and consulting.
- Benefits: Competitive salary up to £65k plus a £7k annual bonus.
- Why this job: Make a real impact on UK national security with your data science skills.
- Qualifications: Strong Python skills and experience with ML libraries and AWS.
- Other info: Mentor junior colleagues and influence AI strategy in critical missions.
The predicted salary is between 46800 - 78000 £ per year.
This is a unique opportunity to apply advanced data science in the national security domain. You’ll work with highly sensitive, complex datasets that you won’t find anywhere else, solving problems that have a direct impact on UK security. Expect variety: one day you’ll be scoping new AI projects with stakeholders, the next you’ll be building models for text, image, or geospatial data, and later presenting findings to senior decision-makers. You’ll influence strategy, mentor junior colleagues, and help shape how AI is adopted across critical missions. If you want to combine technical depth with meaningful impact, this is the role for you.
What You’ll Do:
- Lead data science projects from scoping to deployment
- Apply ML and statistical methods across varied data types
- Collaborate with ML engineers to productionise models
- Communicate insights to technical and non-technical stakeholders
- Mentor junior team members
Skillset:
- Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy)
- Experience with AWS cloud services (SageMaker, Lambda, S3)
- Familiarity with MLOps tools (MLflow, Weights & Biases)
- Knowledge of NLP, computer vision, or time-series analysis
- Ability to design experiments and apply statistical validation
- Understanding of Responsible AI principles and model explainability
Ready to take your data science expertise to the next level and make a real-world difference? Apply today.
Senior Data Scientist employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in national security. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML and AI. This will give potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, AWS, and MLOps tools, as well as how you communicate complex ideas to different audiences.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got exclusive features and resources that can help you stand out. Plus, it’s a great way to show your enthusiasm for the role and the company.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with Python, ML libraries, and any relevant projects you've worked on in national security or similar fields. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can make a meaningful impact in the national security domain. Don’t forget to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills: In your application, be sure to showcase your technical skills, especially in Python and AWS services. Mention any experience with MLOps tools and your understanding of Responsible AI principles. We love seeing candidates who are technically savvy and ready to tackle complex datasets!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Anson McCade
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills and ML libraries like scikit-learn and PyTorch. Be ready to discuss specific projects where you've applied these tools, especially in areas like NLP or computer vision. The more you can showcase your technical depth, the better!
✨Understand the National Security Context
Familiarise yourself with the unique challenges and datasets in the national security domain. Research current trends and issues that impact UK security. This will help you demonstrate your understanding of how your work can influence strategy and decision-making.
✨Prepare for Collaboration Questions
Since you'll be working closely with ML engineers and mentoring junior colleagues, think about examples from your past experiences where you've successfully collaborated on projects. Highlight your ability to communicate complex ideas to both technical and non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've approached problem-solving in previous roles. Think of specific instances where you designed experiments or applied statistical validation. This will show your potential employer that you can tackle the complex problems they'll throw your way.
